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Non-participation was highest among the RHS managers, so the division into clusters should be interpreted with some caution.
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Results of k-means clustering confirmed division into four clusters according to the pollution.
Results of k-means clustering confirmed a division into four clusters according to the pollution.
The dendograms obtained from the MRI parameters showed a natural division into four clusters for the nucleus pulposus but only three clusters for the annulus fibrosus.
The dendograms showed a natural division into four clusters for the nucleus pulposus and into three or four clusters for the annulus fibrosus.
Although, we find a similar partition to Yu et al. when a division into three clusters is explicitly specified to the algorithm, this partition was not supported over a division into two clusters by our clustering algorithm.
The natural division into four clusters on the dendograms from the mechanical properties reflected our 4 experimental groups.
Division into seven clusters was also biologically sensible given the phylogenetic structure of the sample (fig. 2 A).
The dendograms obtained from the mechanical properties showed a natural division into 4 clusters for both the annulus fibrosus and nucleus pulposus.
Another aspect of the validity of the theoretical framework is the division into 13 clusters, based on the sorting task of the participants.
By applying CCC, we could confirm that the division into three clusters was the most efficient way to model these data (CCC = 0.62, which was the largest CCC (optimal) in the range of one to 20 clusters [two-cluster CCC = −13.98; four-cluster CCC = −15.23)).
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